Available in synchronized catalog
L4
EU East / Community
- GPUs per machine
- 1
- VRAM per GPU
- 24 GB
- vCPU
- 20
- System RAM
- 63 GB
- Storage
- 388 GB
USD 0.37 / machine-hour
NVIDIA L4 GPU rental and cloud pricing
Evaluate NVIDIA L4 for inference and media processing. Compare the exact configurations below using synchronized customer prices, not a fixed promotional rate.
Latest successful catalog synchronization: . This is a synchronized snapshot, not a reservation or a guarantee of capacity at launch. Prices and availability may change.
Catalog VRAM per GPU: 24 GB.
From USD 0.37 / machine-hour (1 GPU)
Available NVIDIA L4 configurations (5)
Available in synchronized catalog
L4
EU East / Secure
- GPUs per machine
- 1
- VRAM per GPU
- 24 GB
- vCPU
- 12
- System RAM
- 71 GB
- Storage
- 100 GB
USD 0.65 / machine-hour
Available in synchronized catalog
L4
EU West / Secure
- GPUs per machine
- 1
- VRAM per GPU
- 24 GB
- vCPU
- 12
- System RAM
- 71 GB
- Storage
- 100 GB
USD 0.65 / machine-hour
Available in synchronized catalog
L4
US East / Secure
- GPUs per machine
- 1
- VRAM per GPU
- 24 GB
- vCPU
- 12
- System RAM
- 71 GB
- Storage
- 100 GB
USD 0.65 / machine-hour
Available in synchronized catalog
L4
US West / Community
- GPUs per machine
- 1
- VRAM per GPU
- 24 GB
- vCPU
- 25
- System RAM
- 25 GB
- Storage
- 183 GB
USD 0.37 / machine-hour
When to evaluate NVIDIA L4
Size model weights, context, and batch memory together. Validate codec and runtime support for your media pipeline before deploying.
For inference and media processing, test a representative workload before committing to a larger deployment. Check model weights, runtime allocations, context or scene size, and any application licensing requirements.
Read the configuration and hourly rate together
The displayed rate covers one machine with the listed GPU count. VRAM is per GPU, not system RAM or automatically pooled memory. Prices are customer-facing catalog rates; account-specific terms and configuration changes must be reviewed in the Marketplace before launch.
The public feed chooses the lowest USD customer rate within each model, GPU count, VRAM, region, and capacity class. CPU, RAM, and storage describe that selected listing, not every machine in the region. The number of rows is not a count of available machines.
Read the GPU cloud guide and SSH guide to prepare the software environment and access settings. Capacity shown here is not reserved by viewing the page.